医疗急救
中心(范畴论)
毒物控制
变压器
生成语法
计算机科学
医学
工程类
人工智能
电气工程
结晶学
电压
化学
作者
Nikolaus Matsler,Lesley Pepin,Shireen Banerji,Christopher Hoyte,Kennon Heard
标识
DOI:10.1080/15563650.2024.2348107
摘要
Introduction Efficient and complete medical charting is essential for patient care and research purposes. In this study, we sought to determine if Chat Generative Pre-Trained Transformer could generate cogent, suitable charts from recorded, real-world poison center calls and abstract and tabulate data.
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